| /* |
| * Copyright (c) 2017 ARM Limited. |
| * |
| * SPDX-License-Identifier: MIT |
| * |
| * Permission is hereby granted, free of charge, to any person obtaining a copy |
| * of this software and associated documentation files (the "Software"), to |
| * deal in the Software without restriction, including without limitation the |
| * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or |
| * sell copies of the Software, and to permit persons to whom the Software is |
| * furnished to do so, subject to the following conditions: |
| * |
| * The above copyright notice and this permission notice shall be included in all |
| * copies or substantial portions of the Software. |
| * |
| * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR |
| * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, |
| * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE |
| * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER |
| * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, |
| * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE |
| * SOFTWARE. |
| */ |
| #include "arm_compute/core/NEON/kernels/NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel.h" |
| |
| #include "arm_compute/core/Error.h" |
| #include "arm_compute/core/Helpers.h" |
| #include "arm_compute/core/ITensor.h" |
| #include "arm_compute/core/Types.h" |
| #include "arm_compute/core/Validate.h" |
| #include "arm_compute/core/Window.h" |
| |
| #include <arm_neon.h> |
| #include <cstddef> |
| #include <cstdint> |
| |
| using namespace arm_compute; |
| |
| namespace arm_compute |
| { |
| class Coordinates; |
| } // namespace arm_compute |
| |
| NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel::NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel() |
| : _input(nullptr), _output(nullptr), _result_offset(0), _result_mult_int(0), _result_shift(0) |
| { |
| } |
| |
| void NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel::configure(const ITensor *input, ITensor *output, int result_offset, int result_mult_int, int result_shift) |
| { |
| ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::S32); |
| ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::QASYMM8); |
| |
| _input = input; |
| _output = output; |
| _result_offset = result_offset; |
| _result_mult_int = result_mult_int; |
| _result_shift = result_shift; |
| |
| constexpr unsigned int num_elems_processed_per_iteration = 16; |
| |
| // Configure kernel window |
| Window win = calculate_max_window(*output->info(), Steps(num_elems_processed_per_iteration)); |
| |
| AccessWindowHorizontal input_access(input->info(), 0, num_elems_processed_per_iteration); |
| AccessWindowHorizontal output_result_access(output->info(), 0, num_elems_processed_per_iteration); |
| |
| update_window_and_padding(win, |
| input_access, |
| output_result_access); |
| |
| output_result_access.set_valid_region(win, ValidRegion(Coordinates(0, 0), output->info()->tensor_shape())); |
| |
| INEKernel::configure(win); |
| } |
| |
| void NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel::run(const Window &window, const ThreadInfo &info) |
| { |
| ARM_COMPUTE_UNUSED(info); |
| ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); |
| ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(INEKernel::window(), window); |
| |
| const int32x4_t result_offset_s32 = vdupq_n_s32(_result_offset); |
| const int32x4_t result_shift_s32 = vdupq_n_s32(-_result_shift); |
| const int32x4_t zero_s32 = vdupq_n_s32(0); |
| |
| Iterator in(_input, window); |
| Iterator out(_output, window); |
| |
| execute_window_loop(window, [&](const Coordinates & id) |
| { |
| int32x4x4_t in_s32 = |
| { |
| { |
| vld1q_s32(reinterpret_cast<const int32_t *>(in.ptr()) + 0), |
| vld1q_s32(reinterpret_cast<const int32_t *>(in.ptr()) + 4), |
| vld1q_s32(reinterpret_cast<const int32_t *>(in.ptr()) + 8), |
| vld1q_s32(reinterpret_cast<const int32_t *>(in.ptr()) + 12) |
| } |
| }; |
| |
| // Add the offset terms to GEMM's result |
| in_s32.val[0] = vaddq_s32(in_s32.val[0], result_offset_s32); |
| in_s32.val[1] = vaddq_s32(in_s32.val[1], result_offset_s32); |
| in_s32.val[2] = vaddq_s32(in_s32.val[2], result_offset_s32); |
| in_s32.val[3] = vaddq_s32(in_s32.val[3], result_offset_s32); |
| |
| // Multiply by c_mult_int |
| in_s32.val[0] = vmulq_n_s32(in_s32.val[0], _result_mult_int); |
| in_s32.val[1] = vmulq_n_s32(in_s32.val[1], _result_mult_int); |
| in_s32.val[2] = vmulq_n_s32(in_s32.val[2], _result_mult_int); |
| in_s32.val[3] = vmulq_n_s32(in_s32.val[3], _result_mult_int); |
| |
| // Shift final result (negative value shift right) |
| in_s32.val[0] = vshlq_s32(in_s32.val[0], result_shift_s32); |
| in_s32.val[1] = vshlq_s32(in_s32.val[1], result_shift_s32); |
| in_s32.val[2] = vshlq_s32(in_s32.val[2], result_shift_s32); |
| in_s32.val[3] = vshlq_s32(in_s32.val[3], result_shift_s32); |
| |
| // Saturate negative values |
| in_s32.val[0] = vmaxq_s32(in_s32.val[0], zero_s32); |
| in_s32.val[1] = vmaxq_s32(in_s32.val[1], zero_s32); |
| in_s32.val[2] = vmaxq_s32(in_s32.val[2], zero_s32); |
| in_s32.val[3] = vmaxq_s32(in_s32.val[3], zero_s32); |
| |
| // Convert S32 to S16 |
| const int16x8x2_t in_s16 = |
| { |
| { |
| vcombine_s16(vqmovn_s32(in_s32.val[0]), vqmovn_s32(in_s32.val[1])), |
| vcombine_s16(vqmovn_s32(in_s32.val[2]), vqmovn_s32(in_s32.val[3])) |
| } |
| }; |
| |
| // Convert S16 to U8 |
| const uint8x16_t out_u8 = vcombine_u8(vqmovun_s16(in_s16.val[0]), vqmovun_s16(in_s16.val[1])); |
| |
| vst1q_u8(out.ptr(), out_u8); |
| }, |
| in, out); |
| } |